Complex kernel PCA for multimodal biometric recognition

IEICE Electronics Express

Qi Han¹  Zhifang Wang¹  Xiamu Niu¹ 

[1] School of Computer Science and Technology, Harbin Institute of Technology

关键词: multimodal biometric recognition;    feature fusion;    complex field;   

DOI  :  10.1587/elex.6.1131

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(8)Cited-By(1)This letter presents a novel multimodal biometric recognition algorithm based on complex kernel principle component analysis (CKPCA). CKPCA generalizes kernel principle component analysis (KPCA) method for complex field to perform feature fusion and classification. Iris and face are used as two distinct biometric modals to test our algorithm. Experimental results show that the proposed algorithm achieves much better performance than other conventional multimodal biometric algorithms.

【 授权许可】

Unknown